Attention Transfer Reinforcement Learning for Test Case Prioritization in Continuous Integration

Attention Transfer Reinforcement Learning for Test Case Prioritization in Continuous Integration

Continuous integration (CI), a crucial technology for accelerating software delivery, employs prioritization methods to optimize testing efficiency. Reinforcement-learning-based prioritization techniques of test cases can dynamically adjust the prioritization strategy based on test feedback. However...

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Bibliographic Details
Main Authors: Qingran Su, Xingze Li, Yuming Ren, Ruinan Qiu, Chunming Hu, Yongfeng Yin
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
continuous integration
sorting of test cases
reinforcement learning
test case prioritization
Online Access:https://www.mdpi.com/2076-3417/15/4/2243
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